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This dataset is a Verilog-a implementation of a dynamic compact model of ferroelectric capacitance. It can be run with a SPICE-type circuit simulator.
Researchers using this dataset should cite it as follows: Ning Feng, Hao Li, Chang Su, Lining Zhang, Qianqian Huang,Runsheng Wang, and Ru Huang, A Dynamic Compact Model for Ferroelectric Capacitance, IEEE Electron Device Letters, DOI: 10.1109/LED.2022.3141413
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277 Views
We have long known that the characterization of protein three-dimensional structure is key to obtaining a detailed understanding of protein function. Computational approaches to protein structure characterization have largely addressed a narrow formulation of the problem, where the goal is the determination of one structure, also known as the native structure, from a given protein amino-acid sequence. However, many researchers over the years have argued for broadening our view of proteins to account for the multiplicity of native structures.
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208 Views
CognitiveMetrix-db
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155 Views
Any work using this dataset should cite the following paper:
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10025 Views
Any work using this dataset should cite the following paper:
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1871 Views
The attached txt file “cir_bis.txt” is the netlist of the SPICE subcircuit of an EMI filter for dc or single-phase ac applications, valid up to 100 MHz. It can be used in a SPICE-compatible solver (e.g., LTSPICE) for frequency-domain or time-domain simulations. It is a passive black-box macromodel obtained as described in the following paper: S. Negri, G. Spadacini, F. Grassi, and S. A.
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697 Views
This dataset contains world news and also the news article's available metadata.
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312 Views
Data accompanying the publication "Robotic Elytra: Insect-inspired Protective Wings for Resilient and Multi-modal Drones".
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221 Views
Please cite the following paper when using this dataset:
N. Thakur, "Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets from 2017–2022 and 100 Research Questions", Journal of Analytics, Volume 1, Issue 2, 2022, pp. 72-97, DOI: https://doi.org/10.3390/analytics1020007
Abstract
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2755 Views